CVApr 1, 2013
Stroke-Based Cursive Character Recognition
arXiv:1304.0421v18 citations
Originality Synthesis-oriented
AI Analysis
This work tackles handwriting recognition for applications like document digitization, but it is incremental as it builds on existing stroke-based approaches.
The paper addresses the challenge of recognizing cursive characters in handwriting, proposing a stroke-based method that achieves a recognition accuracy of 92.5% on a benchmark dataset.
Human eye can see and read what is written or displayed either in natural handwriting or in printed format. The same work in case the machine does is called handwriting recognition. Handwriting recognition can be broken down into two categories: off-line and on-line. ...